The relationship between metacognition and mindreading was investigated by comparing the monitoring of one’s own learning and another person’s learning . Previous studies indicated that in self-paced study judgments of learning for oneself are inversely related to the amount of study time invested in each item. This suggested reliance on the memorizing-effort heuristic that shorter ST is diagnostic of better recall. In this study although an inverse ST–JOL relationship was observed for Self, it was found for (...) Other only when the Other condition followed the Self condition. The results were interpreted in terms of the proposal that the processes underlying experience-based metacognitive judgments are largely unconscious. However, participants can derive insight from observing themselves as they monitor their own learning, and transfer that insight to Other, thus exhibiting a shift from experience-based to theory-based judgments. Although different processes mediate metacognition and mindreading, metacognition can inform mindreading. (shrink)

ABSTRACTResearch has shown that memory predictions are higher for emotional words, pictures, and facial expressions, relative to neutral stimuli, with recognition memory performance often not follo...

Researchers have evaluated how broad categories of emotion influence judgments of learning relative to neutral items. Specifically, JOLs are typically higher for emotional relative to neutral items. The novel goal of the present research was to evaluate JOLs for fine-grained categories of emotion. Participants studied faces with afraid, angry, sad, or neutral expressions and with afraid, angry, or sad expressions. Participants identified the expressed emotion, made a JOL for each, and completed a recognition test. JOLs were higher for (...) the emotional relative to neutral expressions. However, JOLs were insensitive to the categories of negative emotion. Using a survey design in Experiment 3, participants demonstrated idiosyncratic beliefs about emotion. Some people believed the fine-grained emotions were equally memorable, whereas others believed a specific emotion was most memorable. Thus, beliefs about emotion are nuanced, which has important implications for JOL theory. (shrink)

Easy of learning judgments occur before active learning begins, and it is a prediction of how difficult it will be to learn new material in future learning. This study compared the amplitude of event-related potential components and brain activation regions between high and low EOL judgments by adopting ERPs with a classical EOL judgment paradigm, aiming to confirm the ease-of-processing hypothesis. The results showed that the magnitudes of EOL judgments are affected by encoding fluency (...) cues, and the judgment magnitude increases with encoding fluency; low EOL judgments are associated with higher N400 amplitude at the left superior frontal gyrus and left middle frontal gyrus. High EOL judgments showed enlarged slow-wave potentials than low EOL judgments at the left medial temporal lobe, right ventromedial prefrontal cortex, and dorsolateral prefrontal cortex. Our results support the ease-of-processing hypothesis, particularly, by affirming that EOL judgments are affected by encoding fluency in two processing stages. N400 reflects the process of acquiring encoding fluency cues, while slow-wave indicates that individuals use encoding fluency cues for metacognitive monitoring. (shrink)

There are many theories surrounding infant imitation; however, there is no research to our knowledge evaluating the reliability of listener perception of vocal imitation in prelinguistic infants. This paper evaluates intra- and inter-rater judgments on the degree of “imitativeness” in utterances of infants below 12 months of age. 18 listeners were presented audio segments selected from naturalistic recordings to represent in each case a parent vocal model followed by an infant utterance ranging from low to high degrees of imitativeness. (...) The naturalistic data suggested vocal imitation occurred rarely across the first year, but strong intra- and inter-rater correlations were found for judgments of imitativeness. Our results suggest salience of the infant’s vocal imitation despite its rare occurrence as well as active perception by listeners of the imitative signal. We discuss infant vocal imitation as a potential signal of well-being and as an indicator of language learning and vocal communication skills as perceived by caregivers. (shrink)

Background Our objective was to evaluate whether the description of a machine learning (ML) app or brain imaging technology to predict the onset of schizophrenia or alcohol use disorder (AUD) influences healthcare professionals’ judgments of stigma, empathy, and compassion. Methods We randomized healthcare professionals (N = 310) to one vignette about a person whose clinician seeks to predict schizophrenia or an AUD, using a ML app, brain imaging, or a psychosocial assessment. Participants used scales to measure their (...) class='Hi'>judgments of stigma, empathy, and compassion. Results Participants randomized to the ML vignette endorsed less anger and more fear relative to the psychosocial vignette, and the brain imaging vignette elicited higher pity ratings. The brain imaging and ML vignettes evoked lower personal responsibility judgments compared to the psychosocial vignette. Physicians and nurses reported less empathy than clinical psychologists. Conclusions The use of predictive technologies may reinforce essentialist views about mental health and substance use that may increase specific aspects of stigma and reduce others. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Fitness, Fatness, and Aesthetic Judgments of the Female Body:What the AMA Decision to Medicalize Obesity means for other Non–Normal Female BodiesSara R. Jordan“I’ll be happy to refer you to our dietician to get you on a program to help you get your weight under control before it becomes a problem”.As my new physician spun around out of the examination room door, my head spun faster. I had heard (...) the phrase “get your weight under control” twice that morning, but the contexts in which the phrase was uttered could not have been more different.At 7:30 a.m., my fitness trainer was imploring me to get my weights under control as I struggled under a bar, laden with slightly less than my body weight, to do a final set of front squats. At 11:15 a.m., my new general practitioner was imploring me to get my weight under control, by which he meant to learn how to reduce my body mass index (BMI) to match the chart prominently displayed on his office wall. The exhortation to get my weight under control meant such radically different things in these two contexts that it was difficult to comprehend the meaning of the phrase.I am 5’4” and 158 pounds. This gives me a BMI of 27.3, which means that I am considered overweight; right in the middle of the category of overweight. Or, according to the definition of the BMI found on the calculator pinned to the National Heart Lung and Blood Institutes (NHLBI) webpage, I am over fat. If the BMI is, “a measure of body fat based on height and weight that applies to adult men and women” then I carry a health–threatening percentage of body fat. If my fitness trainer, with his 12 point skin–fold caliper test is correct, my body fat percentage of 17% is within the limits expected of female (non–endurance) athletes. In terms of health, then, I am a paradox: according to one standard, I am healthy and fit, according to another, I am unhealthy and fat.As this new physician picked apart my weight, suggesting I should lose between 15 and 20 pounds to bring myself to “full health”, I found myself quite annoyed. He was a small, rail thin, man with greying hair, tired eyes, unpressed khakis, and a beaten pair of black–ish grey “Crocs” on his feet. He looked disheveled and as if he had not seen the inside of a weights room in his life. As I listened to him address my history, current vitals, and how being overweight in my 30s could lead to being [End Page 101] “fat and 40”, I looked him over and made a snap judgment of “I could bench (press) you [right out this window]”. While I was angry with his delivery, I tried to remind myself that he was an overworked physician in a multi–lingual office, trying to operate under a new paradigm in healthcare policy, practice, and diagnostic categories. Specifically, prompted by the medicalization of the condition of obesity by the American Medical Association, my physician was reflecting the professional wisdom that I suffer from a condition needing preventive treatment. He was trying to be a good practitioner to recommend preventive treatment, but to me, he was being a terrible physician.The AMA Declares Obesity a DiseaseThe declaration by the American Medical Association in 2013 that the condition of being obese is one that requires medical treatment is one that I, on the face of it, support. By inviting the medicalization of the condition, the AMA opens the door for individuals who wage a deeply personal battle with their weight to find support in their physicians’ offices and from their insurance companies. Yet, the blunt tools that are used to assess these conditions raise my ire, emotionally and intellectually.Intellectually, the use of the BMI calculator for snap diagnosis of all individuals makes easy sense. It is an easily comprehended tool and, for a normally distributed population, such a simple tool is an excellent choice. But, it stands to treat outliers like me poorly. Outliers, such as particularly fit... (shrink)

The topics covered in this volume, originally published in 1973, include the need for a more adequate concept or definition of education, the issue of whether indoctrination is compatible with education, particularly with moral education, and the processes of judging the merits of different approaches to aesthetic education. Two contributors present complementary analyses of the relations between freedom as a characteristic of institutions and the process of learning to be a free man. There is discussion of the neglected subject (...) of rights and duties in education, with special emphasis on the question of a universal right to education. The volume concludes with papers on the relevance of philosophy to the practical judgments of educators and to education as a field of study. (shrink)

What happens to scientific knowledge when researchers outside the natural sciences bring elements of the latest trend across disciplinary boundaries for their own purposes? Researchers in fields from anthropology to family therapy and traffic planning employ the concepts, methods, and results of chaos theory to harness the disciplinary prestige of the natural sciences, to motivate methodological change or conceptual reorganization within their home discipline, and to justify public policies and aesthetic judgments. Using the recent explosion in the use of (...) chaos theory, _Borrowed Knowledge and the Challenge of Learning across Disciplines _examines the relationship between science and other disciplines as well as the place of scientific knowledge within our broader culture. Stephen H. Kellert’s detailed investigation of the myriad uses of chaos theory reveals serious problems that can arise in the interchange between science and other knowledge-making pursuits, as well as opportunities for constructive interchange. By engaging with recent debates about interdisciplinary research, Kellert contributes a theoretical vocabulary and a set of critical frameworks for the rigorous examination of borrowing. (shrink)

In two independent yet complementary studies, the current research explored the developmental changes of young children’s conceptualization of learning, focusing the role of knowledge change and learning intention, and its association with their developing theory of mind ability. In study 1, 75 children between 48 and 86 months of age judged whether a character with or without a genuine knowledge change had learned. The results showed that younger children randomly attributed learning between genuine knowledge change and accidental (...) coincidence that did not involve knowledge change. Children’s learning judgments in familiar contexts improved with age and correlated with their ToM understanding. However, the correlation was no longer significant once age was held constant. Another sample of 72 children aged between 40 and 90 months participated in study 2, where children were asked to judge whether the story protagonists intended to learn and whether they eventually learned. The results suggested that children over-attributed learning intention to discovery and implicit learning. Stories with conflict between the learning intention and outcome appeared to be most challenging for children. Children’s intention judgment was correlated with their ToM understanding, and ToM marginally predicted intention judgment when the effect of age was accounted for. The implication of the findings for school readiness was discussed. Training studies and longitudinal designs in the future are warranted to better understand the relation between ToM development and children’s learning understanding. (shrink)

Judgments concerning animals have arisen across a variety of established practice areas. There is, however, no publicly available repository of judgments concerning the emerging practice area of animal protection law. This has hindered the identification of individual animal protection law judgments and comprehension of the scale of animal protection law made by courts. Thus, we detail the creation of an initial animal protection law repository using natural language processing and machine learning techniques. This involved domain expert (...) classification of 500 judgments according to whether or not they were concerned with animal protection law. 400 of these judgments were used to train various models, each of which was used to predict the classification of the remaining 100 judgments. The predictions of each model were superior to a baseline measure intended to mimic current searching practice, with the best performing model being a support vector machine (SVM) approach that classified judgments according to term frequency—inverse document frequency (TF-IDF) values. Investigation of this model consisted of considering its most influential features and conducting an error analysis of all incorrectly predicted judgments. This showed the features indicative of animal protection law judgments to include terms such as ‘welfare’, ‘hunt’ and ‘cull’, and that incorrectly predicted judgments were often deemed marginal decisions by the domain expert. The TF-IDF SVM was then used to classify non-labelled judgments, resulting in an initial animal protection law repository. Inspection of this repository suggested that there were 175 animal protection judgments between January 2000 and December 2020 from the Privy Council, House of Lords, Supreme Court and upper England and Wales courts. (shrink)

Patients’ beliefs about the effectiveness of their treatments are key to the success of any intervention. However, since these beliefs are usually formed by sequentially accumulating evidence in the form of the covariation between the treatment use and the symptoms, it is not always easy to detect when a treatment is actually working. In Experiments 1 and 2, we presented participants with a contingency learning task in which a fictitious treatment was actually effective to reduce the symptoms of fictitious (...) patients. However, the base-rate of the symptoms was manipulated so that, for half of participants, the symptoms were very frequent before the treatment, whereas for the rest of participants, the symptoms were less frequently observed. Although the treatment was equally effective in all cases according to the objective contingency between the treatment and healings, the participants’ beliefs on the effectiveness of the treatment were influenced by the base-rate of the symptoms, so that those who observed frequent symptoms before the treatment tended to produce lower judgments of effectiveness. Experiment 3 showed that participants were probably basing their judgments on an estimate of effectiveness relative to the symptom base-rate, rather than on contingency in absolute terms. Data, materials, and R scripts to reproduce the figures are publicly available at the Open Science Framework. (shrink)

There is a globalization trend in teacher education, emphasizing the role of teachers to make judgments based on human rights in their teaching profession. Rather than emphasizing the epistemological dimension of acquiring knowledge about human rights through teacher education, an ontological dimension is emphasized in this paper of what it means to become a professional teacher. An ontological dimension of ‘learning to become’ can be captured in critical examination of a cosmopolitan awareness of teachers in relation to judgment (...) and justice. I read the critique through studies on human rights in teacher education, which transforms notions of openness and respect in relations marked by difference. (shrink)

Introducción: las tecnologías de la información y las comunicaciones se utilizan cada vez más en las universidades como medios de enseñanza. Se ha optado por el uso de los objetos de aprendizaje para lograr la reutilización, accesibilidad, durabilidad e interoperabilidad en sus recursos educativos. Objetivo: enunciar algunos de los valores humanos que se que se manifiestan en el proceso de autoformación con los objetos de aprendizaje. Método: se utilizó la observación como método científico durante el proceso enseñanza-aprendizaje con los objetos (...) de aprendizaje para la autoformación de los estudiantes. Resultados: se enunciaron algunos valores intelectuales, éticos, estéticos, físicos, morales y sociales, que se revelan en el proceso de autoformación con los objetos de aprendizaje. Conclusiones: Los valores humanos que manifiestan los estudiantes durante el proceso de autoformación con los objetos de aprendizaje sirven para establecer juicios de valor consistentes, derivados de modos de pensar y sentir que les permitan enfrentar sus decisiones vitales. Introduction: Information technology and communications are increasingly used in universities as teaching means in the teaching-learning process. The use of learning objects has been opted to achieve reusability, accessibility, durability and interoperability in its educational resources. Objective: To enunciate some human values occurring in the process of self-education with learning objects. Method: The observation as a scientific method for the teaching-learning process with learning objects for independent self-training of students was used. Results: There have been enunciated some intellectual, ethical, aesthetic, physical, moral and social values that are revealed in the process of self-training with learning objects. Conclusions: The human values that students showed during self-training with learning objects serve to establish consistent value judgments derived from modes of thinking and feeling that enable them to cope with their vital decisions. (shrink)

This article proposes a new model of human concept learning that provides a rational analysis of learning feature‐based concepts. This model is built upon Bayesian inference for a grammatically structured hypothesis space—a concept language of logical rules. This article compares the model predictions to human generalization judgments in several well‐known category learning experiments, and finds good agreement for both average and individual participant generalizations. This article further investigates judgments for a broad set of 7‐feature concepts—a (...) more natural setting in several ways—and again finds that the model explains human performance. (shrink)

The topics covered in this volume, originally published in 1973, include the need for a more adequate concept or definition of education, the issue of whether indoctrination is compatible with education, particularly with moral education, and the processes of judging the merits of different approaches to aesthetic education. Two contributors present complementary analyses of the relations between freedom as a characteristic of institutions and the process of learning to be a free man. There is discussion of the neglected subject (...) of rights and duties in education, with special emphasis on the question of a universal right to education. The volume concludes with papers on the relevance of philosophy to the practical judgments of educators and to education as a field of study. (shrink)

Emotion judgments and five channels of physiological data were obtained from 60 participants listening to 60 music excerpts. Various machine learning (ML) methods were used to model the emotion judgments inclusive of neural networks, linear regression, and random forests. Input for models of perceived emotion consisted of audio features extracted from the music recordings. Input for models of felt emotion consisted of physiological features extracted from the physiological recordings. Models were trained and interpreted with consideration of the (...) classic debate in music emotion between cognitivists and emotivists. Our models supported a hybrid position wherein emotion judgments were influenced by a combination of perceived and felt emotions. In comparing the different ML approaches that were used for modeling, we conclude that neural networks were optimal, yielding models that were flexible as well as interpretable. Inspection of a committee machine, encompassing an ensemble of networks, revealed that arousal judgments were predominantly influenced by felt emotion, whereas valence judgments were predominantly influenced by perceived emotion. (shrink)

The aim of this study was to test the claim that languages universally employ morphosyntactic marking to differentiate events of more‐ versus less‐direct causation, preferring to mark them with less‐ and more‐ overt marking, respectively (e.g., Somebody broke the window vs. Somebody MADE the window break; *Somebody cried the boy vs. Somebody MADE the boy cry). To this end, we investigated whether a recent computational model which learns to predict speakers’ by‐verb relative preference for the two causatives in English, Hebrew, (...) Hindi, Japanese, and K'iche’ Mayan is able to generalize to a sixth language on which it has never been trained: Balinese. Judgments of the relative acceptability of the less‐ and more‐transparent causative forms of 60 verbs were collected from 48 native‐speaking Balinese adults. The composite crosslinguistic computational model was able to predict these judgments, not only for verbs that it had seen, but also––in a split‐half validation test––to verbs that it had never seen in any language. A “random‐semantics” model showed only a relatively small decrement in performance with seen verbs, whose behavior can be learned on a verb‐by‐verb basis, but achieved zero correlation with human judgments when generalizing to unseen verbs. Together, these findings suggest that Balinese conceptualizes directness of causation in a similar way to these unrelated languages, and therefore constitute support for the view that the distinction between more‐ versus less‐distinct causation constitutes a morphosyntactic universal. (shrink)

Psychopathy is a developmental disorder associated with specific forms of emotional dysfunction and an increased risk for both frustration-based reactive aggression and goal-directed instrumental antisocial behavior. While the full behavioral manifestation of the disorder is under considerable social influence, the basis of this disorder appears to be genetic. At the neural level, individuals with psychopathy show atypical responding within the amygdala and ventromedial prefrontal cortex. Moreover, the roles of the amygdala in stimulus-reinforcement learning and responding to emotional expressions and (...) vmPFC in the representation of reinforcement expectancies are compromised. The implications of these functional impairments for responsibility are discussed. (shrink)

Whereas cognitive models of learning often assume direct experience with both the features of an event and with a true label or outcome, much of everyday learning arises from hearing the opinions of others, without direct access to either the experience or the ground-truth outcome. We consider how people can learn which opinions to trust in such scenarios by extending the hedge algorithm: a classic solution for learning from diverse information sources. We first introduce a semi-supervised variant (...) we call the delusional hedge capable of learning from both supervised and unsupervised experiences. In two experiments, we examine the alignment between human judgments and predictions from the standard hedge, the delusional hedge, and a heuristic baseline model. Results indicate that humans effectively incorporate both labeled and unlabeled information in a manner consistent with the delusional hedge algorithm—suggesting that human learners not only gauge the accuracy of information sources but also their consistency with other reliable sources. The findings advance our understanding of human learning from diverse opinions, with implications for the development of algorithms that better capture how people learn to weigh conflicting information sources. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:To Recognize the Person: Learning from Narratives of Psychiatric TreatmentLinda J. MorrisonTo know what patients endure at the hands of illness and therefore to be of clinical help requires that doctors enter the worlds of their patients, if only imaginatively, and to see and interpret these worlds from the patient’s point of view(Charon, 2006, p. 9).These narratives of psychiatric hospitalization are rich and evocative. We are fortunate to (...) have twelve descriptions appearing side-by-side, each unique in its focus, outlook, detail and narrative tone. Together their interwoven contexts describe personal and work relationships, internal and external help-seeking, encounters in community and hospital settings, and experiences of the psychiatric (psychiatrized) self as supplicant, victim, recipient, participant, product, and active agent over time (Morrison, 2005).Through their collected narratives, the authors create a distinct counterpoint to the more familiar clinical narratives of psychiatric encounters. Ordinarily the professional narrative drives interpretation of a clinical experience, whether medical or psychiatric. The caregivers populating these narratives would probably tell different stories, and the hospital notes and treatment records yet another (Hinsby & Baker, 2004; VanDerNagel et al., 2009). The disjunction between professional and patient narrative is especially true for psychiatric hospitalizations, in which the inpatient’s active narrative becomes a part of the diagnostic and treatment process (Steslow, 2010).In this symposium, the patient’s narrative is a window for interpretive insights into personal experience of the process. Each is a situated retrospective, in which added dimensions of feeling, thought and interaction provide the reader a fuller and more complex awareness of the experience of psychiatric hospitalization. The narratives provide insights about choice and agency, control and harm, safety and strength, hope and frustration, resilience and recovery, empathy and humanity; they also reveal various ethical issues related to the experience of help-seeking and treatment.It is vital to consider what each person wrote: what choices they made in representing their experience; what aspects they focused on, and what they (we imagine) left out. The authors used their own voices to create their own representations. In each narrative, “the person” provides an important standpoint. Who is this person, what is his or her experience? Where is the person in the situation; in what way does he or she appear to those who provide treatment or care? How, if at all, is the treatment pertinent to the person’s concerns? Does it feel helpful or harmful? How does the person find a way to continue, to push through, with the help of (or in spite of) those we hope are providing care? This is the first sign of agency, of choice, of “dreaming.” [End Page 35]As V. Barnard writes in Dreaming: A Recovery Story, “to make a film, one has to dream it first.” All of the authors in this symposium took the risk and the opportunity to create their own stories: what to include, what to leave out, how to tell what they wanted to say. These choices gave them the power to dream: how it was, how it might have been; how it felt, good and bad; the chance to represent their own reality—to themselves, and to unknown others (Morrison, 2006).Dreaming, Choice and Agency“My psychiatric illness is only one part of me. I am a person with hopes, dreams, love, an artist and a fellow helper of my peers.” V. BarnardV.’s narrative describes the potential for positive action, of dreaming herself as a whole into existence. Her themes of choice and agency emphasize the importance of autonomy and the capacity for autonomous action. On the farm, V. was free to choose and take risks, to take on responsibilities, to be “treated with respect as a human being trying to get better rather than a criminal suffering from something that was optional.” From disconnection, she was able to find connection, on her own terms.The support of peers adds a valuable dimension. Being recognized as a peer, a person who shares similar psychiatric experiences and respects the challenge of everyday life, brings another level to supportive relationships. Negative judgments and stigma are reduced by mutual support and acknowledgement of common goals. Mental health... (shrink)

Determining the knowledge that guides human judgments is fundamental to understanding how people reason, make decisions, and form predictions. We use an experimental procedure called ‘‘iterated learning,’’ in which the responses that people give on one trial are used to generate the data they see on the next, to pinpoint the knowledge that informs people's predictions about everyday events (e.g., predicting the total box office gross of a movie from its current take). In particular, we use this method (...) to discriminate between two models of human judgments: a simple Bayesian model (Griffiths & Tenenbaum, 2006) and a recently proposed alternative model that assumes people store only a few instances of each type of event in memory (MinK; Mozer, Pashler, & Homaei, 2008). Although testing these models using standard experimental procedures is difficult due to differences in the number of free parameters and the need to make assumptions about the knowledge of individual learners, we show that the two models make very different predictions about the outcome of iterated learning. The results of an experiment using this methodology provide a rich picture of how much people know about the distributions of everyday quantities, and they are inconsistent with the predictions of the MinK model. The results suggest that accurate predictions about everyday events reflect relatively sophisticated knowledge on the part of individuals. (shrink)

Previous research suggests that curiosity is sometimes induced by novel information one has no relevant knowledge about, but it is sometimes induced by new information about something that one is familiar with and has prior knowledge about. However, the conditions under which novelty or familiarity triggers curiosity remain unclear. Using metacognitive confidence judgments as a proxy to quantify the amount of knowledge, this study evaluates the relationship between the amount of relevant knowledge and curiosity. We reviewed previous studies on (...) the relationship between subjective curiosity and confidence and reanalyzed existing large‐sample data. The findings indicate that the relationship between curiosity and confidence differs depending on the nature of the stimuli: epistemic versus perceptual. Regarding perceptual stimuli, curiosity is stronger when individuals have lower confidence levels. By contrast, for epistemic stimuli, curiosity is stronger when individuals have higher confidence levels. These results suggest that curiosity triggered by perceptual stimuli is based on perceived novelty, whereas that triggered by epistemic stimuli is based on familiarity with prior knowledge. (shrink)

Crashes involving self-driving cars at least superficially resemble trolley dilemmas. This article discusses what lessons machine ethicists working on the ethics of self-driving cars can learn from trolleyology. The article proceeds by providing an account of the trolley problem as a paradox and by distinguishing two types of solutions to the trolley problem. According to an optimistic solution, our case intuitions about trolley dilemmas are responding to morally relevant differences. The pessimistic solution denies that this is the case. An optimistic (...) solution would yield first-order moral insights for the ethics of self-driving cars, but such a solution is difficult to come by. More plausible is the pessimistic solution, and it teaches us a methodological lesson. The lesson is that machine ethicists should discount case intuitions and instead rely on intuitions and judgments at a higher level of generality. (shrink)

Mele's jointly sufficient conditions for self-deception preclude definitive ascriptions of self-deception in practice. Consequently, actual ascriptions of self-deception require large inferences and may frequently be in error. It is recommended that attention be directed toward actual practices of ascription to understand how children learn and adults dispense what is ultimately a moral judgment.

Although machine learning has been successful in recent years and is increasingly being deployed in the sciences, enterprises or administrations, it has rarely been discussed in philosophy beyond the philosophy of mathematics and machine learning. The present contribution addresses the resulting lack of conceptual tools for an epistemological discussion of machine learning by conceiving of deep learning networks as ‘judging machines’ and using the Kantian analysis of judgments for specifying the type of judgment they are (...) capable of. At the center of the argument is the fact that the functionality of deep learning networks is established by training and cannot be explained and justified by reference to a predefined rule-based procedure. Instead, the computational process of a deep learning network is barely explainable and needs further justification, as is shown in reference to the current research literature. Thus, it requires a new form of justification, that is to be specified with the help of Kant’s epistemology. (shrink)